Disaster Medicine and Public Health Preparedness最新文献

Objectives: Treatment interruptions in disaster victims are concerning, owing to an increase in natural disasters and the growing elderly population with chronic conditions. This study examined the temporal trends in treatment interruptions among victims of 2 recent major heavy rain disasters in Japan: West Japan heavy rain in 2018 and Kumamoto heavy rain in 2020.

Methods: Data for this study were derived from the national standardized medical data collection system called the "Japan Surveillance in Post-Extreme Emergencies and Disasters." Joinpoint regression analysis was performed to examine the daily trends in treatment interruptions reported soon after each disaster onset.

Results: A total of 144 and 87 treatment interruption cases were observed in the heavily affected areas of the West Japan heavy rain in 2018 and Kumamoto heavy rain in 2020, respectively. In both disasters, a high number of treatment interruption cases were observed on the first day after the disaster. Joinpoint regression analysis showed that trends in the percentage of treatment interruptions differed between the 2 disasters at different disaster scales.

Conclusions: The findings suggest the importance of a prompt response to treatment interruptions in the immediate aftermath of a disaster and consideration of the specific characteristics of the disaster when planning for disaster preparedness and response.

Objectives: Earthquakes cause great destruction due to their suddenness and intensity. Although all people are affected by earthquakes, children are among those most affected. Every year, millions of children and young people are exposed to many natural disasters and are affected differently. Earthquakes can cause physical, mental, and sleep disorders in children. The aim of this study is to investigate the post-traumatic response and its effects on sleep on child and adolescent earthquake survivors living in the earthquake zone in Turkey.

Methods: This research was carried out between June and August 2023 as a descriptive and cross-sectional study. A total of 230 earthquake survivor children from Adıyaman were included in the study. Personal information forms, the Child Posttraumatic Stress Reaction Index (CPTS-RI), and the Sleep Disturbance Scale for Children (SDSC) were used to collect data.

Results: It was determined that the scale scores of the children who were financially affected by the earthquake, who were injured, and who were under the rubble were higher (P < 0.05).

Conclusions: It was observed that more than half of the children had severe trauma and had sleep disorders. Children who experience trauma from an earthquake have more sleep disorders. For this reason, in addition to emergency aid and interventions in earthquakes, arrangements should be made for the mental health of children and social and psychological support should be provided.

Objective: To estimate COVID-19 vaccine intention, uptake, and hesitancy among essential workers.

Methods: A cross-sectional survey of USDA-certified organic producers. An electronic survey was used for data collection. Analyses included descriptive statistics, χ² tests, and ordinal logistic regressions.

Results: The dataset consisted of 273 records. While 63% of respondents had received at least 1 dose of COVID-19 vaccine, only 17% had the recommended minimum of 2 doses. More than two-thirds of unvaccinated individuals indicated no plan to receive the vaccine, and limited perception of vaccine necessity. They indicated concerns about side effects and a distrust of the vaccines and the government. Age, education level, acreage, region, and health insurance status were variables significantly associated with the number of doses of vaccine received.

Conclusions: Interventions to encourage vaccination may target farmers who are less educated, live alone or just with one other person, lack health insurance, and run larger farms. Results also suggest focusing on enhancing trust in science and the government. Theory-based approaches that address low perception of risk and severity may be more likely to be effective with this population. Information on how US organic producers handled the COVID-19 pandemic is critical for emergency preparedness and food system stability.

Objectives: In 2020, COVID-19 modeling studies predicted rapid epidemic growth and quickly overwhelmed health systems in humanitarian and fragile settings due to preexisting vulnerabilities and limited resources. Despite the growing evidence from Bangladesh, no study has examined the epidemiology of COVID-19 in out-of-camp settings in Cox's Bazar during the first year of the pandemic (March 2020-March 2021). This paper aims to fill this gap.

Methods: Secondary data analyses were conducted on case and testing data from the World Health Organization and the national health information system via the District Health Information Software 2.

Results: COVID-19 in Cox's Bazar was characterized by a large peak in June 2020, followed by a smaller wave in August/September and a new wave from March 2021. Males were more likely to be tested than females (68% vs. 32%, P < 0.001) and had higher incidence rates (305.29/100 000 males vs. 114.90/100 000 female, P < 0.001). Mortality was significantly associated with age (OR: 87.3; 95% CI: 21.03-350.16, P < 0.001) but not sex. Disparities existed in testing and incidence rates among upazilas.

Conclusions: Incidence was lower than expected, with indicators comparable to national-level data. These findings are likely influenced by the younger population age, high isolation rates, and low testing capacity. With testing extremely limited, true incidence and mortality rates are likely higher, highlighting the importance of improving disease surveillance in fragile settings. Data incompleteness and fragmentation were the main study limitations.

Objectives: This study evaluated the validity and reliability of the Persian version of the Disaster Resilience Measuring Tool (DRMT-C19).

Methods: The research was a methodological, psychometric study. Standard translation processes were performed. Face validity and content validity were determined along with construct and convergent validity. To determine the final version of the questionnaire, 483 health care rescuers were selected using a consecutive sampling method. Other resilience-related questionnaires were used to assess concurrent validity. All quantitative data analyses were conducted using SPSS 22 and Jamovi 2.3.28 software.

Results: The content validity and reliability were indicated using Scale's Content Validity Ratio (S-CVR) = 0.92 and Scale's Content Validity Index (S-CVI) = 0.93. The comprehensiveness of the measurement tool = 0.875%. Cronbach's α = 0.89 and the test re-test reliability using interclass correlation coefficients (ICC) = 0.68 to 0.92. Exploratory factor analysis determined 4 factors which accounted for more than 58.54% of the variance among the items. Confirmatory factor analysis determined 12 factors. The concurrent validity between the DRMT-C19 and the Connor-Davidson Resilience Scale (CD-RISC) was r = 0.604 (P ≤ 0.0001).

Conclusions: The DRMT-C19 has satisfactory psychometric properties and is a valid, reliable, and valuable tool for assessing resilience against disasters in Iran's Persian-speaking health care rescuers.

This paper describes the CQI (Continuous Quality Improvement) process of collecting and analyzing field level qualitative data in an ongoing cycle. This data can be used to guide decision-making for effective emergency response. When medical and community components are integrated from the earliest stages of the disaster, it allows for true collaboration and supports the CQI process to be responsive to evolving data. Our CQI process identified and addressed gaps in communication and coordination, problems with strategy implementation and, on a conceptual level, gaps in the disaster response model. The 2015 Ebola crisis in Sierra Leone provided a case study demonstrating improved effectiveness when a CQI approach is implemented in the Humanitarian Setting, equally in terms of reducing disease spread, and in meeting the broader needs of the population served.

The World Health Organization has classified Emergency Medical Teams (EMTs) into 3 types for international disaster response. They range from those that operate as daytime clinic facilities to those that have complete hospital capabilities that can provide 24/7 inpatient care. The most complex EMT (Type 3) includes a full-scale emergency department (ED), operating rooms, a medical/surgical ward, an intensive care unit, and laboratory services. The Israel Defense Forces Field Hospital was the first to be officially designated as a Type 3 EMT. Two models have been used by the Israeli EMT depending on the disaster response: standalone and hybrid. The standalone model is where the ED and hospital are set up in tents independent of any existing health care facilities. The hybrid model is where the equipment and personnel are combined with existing structures. Pediatric patients are examined in either a designated area staffed by specialized pediatric emergency physicians and nurses or integrated into the general ED. Models of ED layout, staffing, scheduling, and equipment are also described. While the Israeli team is a Type 3 EMT, the different models of ED organization can also be applied to other types of field hospitals to maximize care in the disaster setting.

Objectives: Hurricane Ida delivered record rainfall to the northeast, resulting in 11 deaths in New York City. We review these deaths, identify risk factors, and discuss solutions to prevent recurrence.

Methods: Deaths were confirmed by multiple sources. Locations of the deceased were obtained from obituaries and plotted on the NYC.gov flood-hazard map. Risk factor information of the decedents was collected when available. Current emergency response plans and mitigation efforts were identified on the NYC.gov officially sanctioned website.

Results: All descendants resided in basement apartments. None of the deaths occurred in a location previously designated a "flood risk zone." While a flash flood emergency was issued during Hurricane Ida, guidance was not provided during the emergency. Flooding was compounded by the city's aging infrastructure and lack of green space.

Conclusions: Aging infrastructure, lack of pre-notification, illegal basement apartments, and lack of a planned response all appear to have played a role in these 11 deaths.

Monkeypox, a viral zoonotic disease, is currently spreading in Pakistan, raising serious public health concerns. Despite its rarity, the disease has the potential to spread rapidly, especially in areas with a limited health care infrastructure. This short communication overviews the current epidemiology of monkeypox in Pakistan, addressing diagnostic, surveillance, and control challenges, and aims to inform evidence-based prevention. We emphasize the need for enhanced surveillance, improved diagnostic capacity, and targeted public health interventions to prevent outbreaks and minimize the impact of the disease on public health.